G
Gu Wang
Researcher at Tsinghua University
Publications - 16
Citations - 1155
Gu Wang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Pose & Convolutional neural network. The author has an hindex of 7, co-authored 14 publications receiving 495 citations. Previous affiliations of Gu Wang include Technische Universität München.
Papers
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Book ChapterDOI
DeepIM: Deep Iterative Matching for 6D Pose Estimation
TL;DR: A novel deep neural network for 6D pose matching named DeepIM is proposed that is able to iteratively refine the pose by matching the rendered image against the observed image.
Proceedings ArticleDOI
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Zhigang Li,Gu Wang,Xiangyang Ji +2 more
TL;DR: This work proposes a novel 6-DoF pose estimation approach: Coordinates-based Disentangled Pose Network (CDPN), which disentangles the pose to predict rotation and translation separately to achieve highly accurate and robust pose estimation.
Journal ArticleDOI
DeepIM: Deep Iterative Matching for 6D Pose Estimation
TL;DR: A novel deep neural network for 6D pose matching named DeepIM is proposed, trained to predict a relative pose transformation using a disentangled representation of 3D location and 3D orientation and an iterative training process.
Proceedings ArticleDOI
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
TL;DR: GDR-Net as mentioned in this paper proposes a geometry-guided direct regression network to learn the 6D pose in an end-to-end manner from dense correspondence-based intermediate geometric representations.
Book ChapterDOI
Self6D: Self-Supervised Monocular 6D Object Pose Estimation
TL;DR: In this article, self-supervised learning is used to estimate the 6D pose of an object from RGB-D images without the need for real annotations, which can significantly enhance the model's original performance.